Коли ви встановлюєте FastAPI за допомогою `pip install "fastapi[standard]"`, ви отримуєте групу необовʼязкових залежностей `standard`:

Використовується Pydantic:

* [`email-validator`](https://github.com/JoshData/python-email-validator) - для валідації електронної пошти.

Використовується Starlette:

* [`httpx`](https://www.python-httpx.org) - потрібно, якщо ви хочете використовувати `TestClient`.

            }

            // SECURITY WARNING: JWT signature validation is not implemented.
            // This is a critical security vulnerability. The ID token should be validated
            // to ensure it was issued by the expected OpenID Connect provider and has not been tampered with.
            // TODO: Implement JWT signature validation using the provider's public key

這種情況下，你可以使用「自訂驗證函式」，它會在一般驗證之後套用（例如先確認值是 `str` 之後）。

你可以在 `Annotated` 中使用 [Pydantic 的 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) 來達成。

/// tip | 提示

Pydantic 也有 [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) 等等。🤓

///

    }

    /**
     * Unblock an IP address.
     * @param ip the IP address to unblock
     */
    public void unblockIp(final String ip) {
        blockedIps.invalidate(ip);
        logger.info("IP unblocked: ip={}", ip);
    }

    /**
     * Get the number of currently blocked IPs.
     * Note: This may include expired entries not yet evicted.

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[24:31] *}

/// tip | Consejo

Aquí reutilizamos el mismo modelo Pydantic.

Pero de la misma manera, podríamos haberlo validado de alguna otra forma.

		cfg.AuditKafka = make(map[string]kafka.Config)
		if cfg, err = lookupAuditKafkaConfig(scfg, cfg); err != nil {
			return cfg, err
		}
	}
	return cfg, nil
}

// ValidateSubSysConfig - validates logger related config of given sub-system
func ValidateSubSysConfig(ctx context.Context, scfg config.Config, subSys string) error {
	// Lookup for legacy environment variables first

        assertEquals(0x0302, response.getDialectRevision()); // SMB 3.0.2
        assertTrue(response.getMaxTransactSize() > 0);
        assertTrue(response.getMaxTransactSize() <= 16777216); // Within validated limits
    }

    /**
     * Creates a basic negotiate response buffer with minimum valid structure.
     */
    private byte[] createBasicNegotiateResponseBuffer() {

     * during artifact resolution, {@link #VALIDATION_LEVEL_MINIMAL} should be used to account for models of poor
     * quality. By default, models are validated in strict mode.
     *
     * @param validationLevel The level of validation to perform on processed models.
     * @return This request, never {@code null}.
     */

        verify(pipe, times(1)).ensureTreeConnected();
        verify(tree, times(2)).acquire();
    }

    @Test
    @DisplayName("isOpen and isStale reflect underlying handle validity")
    void testIsOpenAndIsStale() throws CIFSException {
        when(pipe.ensureTreeConnected()).thenReturn(tree);
        when(tree.acquire()).thenReturn(tree);
        when(tree.isSMB2()).thenReturn(true);

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[24:31] *}

/// tip | Dica

Aqui reutilizamos o mesmo modelo do Pydantic.

Mas da mesma forma, nós poderíamos ter validado de alguma outra forma.